GRA 3117 Strategy and Entrepreneurship Analytics

GRA 3117 Strategy and Entrepreneurship Analytics

Course code: 
GRA 3117
Department: 
Strategy and Entrepreneurship
Credits: 
6
Course coordinator: 
Sheryl Winston Smith
Liyue Yan
Course name in Norwegian: 
Strategy and Entrepreneurship Analytics
Product category: 
Master
Portfolio: 
MSc in Entrepreneurship and Innovation
Semester: 
2023 Spring
Active status: 
Active
Level of study: 
Master
Teaching language: 
English
Course type: 
One semester
Introduction

This course teaches the framework and practical tools for strategy and entrepreneurship. 

Learning outcomes - Knowledge

After completing this course, students will have advanced knowledge of the relevant theories, tools, and methods required to model businesses to solve strategic and entrepreneurial problems. The students will have advanced understanding of how they can implement a variety of analytic tools.

Learning outcomes - Skills

By the end of this course, a student should be able to

  • describe the firm’s strategy and assess whether the strategy is appropriate
  • test hypotheses in a business model
  • critically think and analyze a problem through using data and analytical tools
  • transform research and analysis into strategic formulation
General Competence

After completing this course, students will have the knowledge and skills to collect and analyze data for strategic and entrepreneurial decisions.

Course content

This course teaches the framework and practical tools for strategy and entrepreneurship. The course focuses on formulating strategy and using analytical tools to navigate through the uncertainties in business decisions. Students will learn how to quantify and analyze businesses, business environments, as well as different strategic and entrepreneurial initiatives. The course offers the students a set of methods and skills that complement their knowledge of conceptual theories in entrepreneurship, innovation, and strategic management.

The course will consist of a combination of lectures and group assignments and will contain quantitative components. Students will learn about various tools used in practice and to apply these methodologies in a range of business contexts.

Teaching and learning activities

The course will be a combination of lectures, action learning activities, application, reflection and class discussions.

Software tools
Software defined under the section "Teaching and learning activities".
Additional information

Please note that while attendance is not compulsory in all courses, it is the student’s own responsibility to obtain any information provided in class.

This is a course with continuous assessment (several exam components) and one final exam code. Each exam component is graded by using points on a scale from 0-100. The components will be weighted together according to the information in the course description in order to calculate the final letter grade for the examination code (course). Students who fail to participate in one/some/all exam elements will get a lower grade or may fail the course. You will find detailed information about the point system and the cut off points with reference to the letter grades when the course start. 

At re-sit all exam components must, as a main rule, be retaken during next scheduled course.

Qualifications

All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have specific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.

Disclaimer

Deviations in teaching and exams may occur if external conditions or unforeseen events call for this.

Required prerequisite knowledge

Use of Excel for modeling. 

Assessments
Assessments
Exam category: 
Activity
Form of assessment: 
Class participation
Weight: 
30
Grouping: 
Individual
Duration: 
1 Semester(s)
Comment: 
Participation in class and through asynchronous platforms.
Exam code: 
GRA 31171
Grading scale: 
Point scale leading to ECTS letter grade
Resit: 
All components must, as a main rule, be retaken during next scheduled course
Exam category: 
Submission
Form of assessment: 
Written submission
Weight: 
30
Grouping: 
Group (2 - 4)
Duration: 
1 Semester(s)
Comment: 
Written group project report (same group as presentation). Presentation of group project (same group as written submission). (Students can be added to groups by course coordinator, making groups larger than maximum size.)
Exam code: 
GRA 31171
Grading scale: 
Point scale leading to ECTS letter grade
Resit: 
All components must, as a main rule, be retaken during next scheduled course
Exam category: 
Activity
Form of assessment: 
Presentation
Weight: 
20
Grouping: 
Group (2 - 4)
Duration: 
20 Minute(s)
Comment: 
Presentation of group project (same group as written submission). (Students can be added to groups by course coordinator, making groups larger than maximum size.)
Exam code: 
GRA 31171
Grading scale: 
Point scale leading to ECTS letter grade
Resit: 
All components must, as a main rule, be retaken during next scheduled course
Exam category: 
Submission
Form of assessment: 
Written submission
Weight: 
20
Grouping: 
Individual
Duration: 
1 Week(s)
Exam code: 
GRA 31171
Grading scale: 
Point scale leading to ECTS letter grade
Resit: 
All components must, as a main rule, be retaken during next scheduled course
Type of Assessment: 
Continuous assessment
Grading scale: 
ECTS
Total weight: 
100
Student workload
ActivityDurationComment
Teaching
36 Hour(s)
In class or online synchronous lecture plus asynchronous activities.
Student's own work with learning resources
60 Hour(s)
Student readings and preparation for lectures.
Group work / Assignments
30 Hour(s)
Student work in groups on projects and assignments.
Examination
34 Hour(s)
Examination related work.
Sum workload: 
160

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.